Akademik Dersler - İçerik

0 : Does not support 1 : Low-level support 2 : Mid-level support 3 : Top level support

Learning Outcomes	1	2	3	4	5	6	7	8	9	10	11	12
Explains machine learning paradigms and uses appropriate performance metrics from the initial stage to measure model success.	3	2	2	1	1	0	0	2	2	0	0	0
Applies supervised and unsupervised machine learning algorithms on structured data and analyzes the results.	2	3	3	2	3	1	1	3	1	0	0	1
Designs artificial neural networks, deep learning, and reinforcement learning architectures for complex problems where traditional algorithms fall short.	3	2	3	1	3	1	2	2	3	0	0	1
Develops an end-to-end data science pipeline covering data preparation, feature engineering, and modeling steps on real-world datasets.	2	3	3	2	3	2	1	3	2	1	1	1
Professionally defends the machine learning project they have developed by presenting the technical justification for the selected algorithm and the resulting data analytics findings.	1	2	2	1	2	3	1	2	2	3	1	2